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Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
It is demonstrated that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc) that uses multiple mathematical models to extract several motor parameters from the electrical activity of frontoparietal neuronal ensembles.
Real-time prediction of hand trajectory by ensembles of cortical neurons in primates
The results suggest that long-term control of complex prosthetic robot arm movements can be achieved by simple real-time transformations of neuronal population signals derived from multiple cortical areas in primates.
Brain–machine interfaces: past, present and future
Remote Control of Neuronal Activity in Transgenic Mice Expressing Evolved G Protein-Coupled Receptors
Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex
A possible means for movement restoration in paralysis patients is suggested after rats trained to position a robot arm to obtain water by pressing a lever routinely used brain-derived signals to position the robot arm and obtain water.
Brain–machine interfaces to restore motor function and probe neural circuits
- M. Nicolelis
- BiologyNature Reviews Neuroscience
- 1 May 2003
It is proposed that functional, bidirectional, real-time interfaces between living brain tissue and artificial devices can become the core of a new experimental approach with which to investigate the operation of neural systems in behaving animals.
Spontaneous cortical activity in awake monkeys composed of neuronal avalanches
- T. Petermann, T. Thiagarajan, M. Lebedev, M. Nicolelis, D. Chialvo, D. Plenz
- BiologyProceedings of the National Academy of Sciences
- 15 September 2009
It is shown that ongoing cortical synchronization in awake rhesus monkeys carries the signature of neuronal avalanches, which suggest an organization of ongoing cortex synchronization that is scale-invariant in its three fundamental dimensions—time, space, and local neuronal group size.
Behavioral Modulation of Tactile Responses in the Rat Somatosensory System
It is proposed that sensory responses are dynamically modulated during active tactile exploration to optimize detection of different types of stimuli during quiet immobility, when the somatosensory system seems to be optimally tuned to detect the presence of single stimuli.
Layer-Specific Somatosensory Cortical Activation During Active Tactile Discrimination
It is suggested that top-down influences during active discrimination may alter the overall functional nature of SI as well as layer-specific mechanisms of tactile processing.